More debugging cases

Samo Penic

2018-11-16 e2fa6a35a6548a5acfd000af56ea333df8149b27

More debugging cases

 aoiOcr.py

@@ -1,13 +1,16 @@
from Ocr import Paper
from sklearn.externals import joblib

from glob import glob

settings = {"sid_mask": "61xx0xxx", "answer_treshold": 0.25}
classifier = joblib.load("filename.joblib")

#p = Paper(filename="testpage300dpi_scan1.png")
#p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings=settings)
p=Paper(filename='processed_scans/20141016095134535_0006.tif', sid_classifier=classifier, settings=settings)
#p=Paper(filename='processed_scans/20141016095134535_0006.tif', sid_classifier=classifier, settings=settings)
#p=Paper(filename='processed_scans/20151111080408825_0001.tif', sid_classifier=classifier, settings=settings)
p=Paper(filename='processed_scans/20151028145444607_0028.tif', sid_classifier=classifier, settings=settings)

# print(p.QRData)
# print(p.errors)
@@ -20,3 +23,8 @@


print(p.get_paper_ocr_data())
exit(0)
filelist = glob("processed_scans/*.tif")
for f in filelist:
    print(f,Paper(filename=f, sid_classifier=classifier, settings=settings).get_paper_ocr_data())


 sid_process.py

@@ -1,8 +1,6 @@
import cv2
import numpy as np
from skimage import morphology, img_as_ubyte
from sklearn import svm
from sklearn.externals import joblib


"""
@@ -90,7 +88,7 @@
        move_left = 0
    # find biggest block of pixels

    image1 = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 25), iterations=3)
    image1 = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 25), iterations=4)
    cv2.imwrite("sidblock1.png", image1)
    im2, ctrs, hier = cv2.findContours(
        image1.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE